Agentic AI Developer Intern

Role Overview

We are seeking highly motivated students or recent graduates (Freshers Only) for an Agentic AI Developer Internship.

Interns will work on building AI-powered applications using LLMs, AI agents, RAG, tool calling, workflow orchestration, and Python backend technologies.

This is a structured 5-month internship designed for candidates who are serious about building a career in Generative AI and Agentic AI Engineering.

Key Responsibilities

• Develop AI-powered applications using Python
• Integrate Large Language Models (LLMs) into applications
• Build AI agents capable of reasoning and executing multi-step tasks
• Design AI workflows using LangChain and LangGraph
• Build Retrieval-Augmented Generation (RAG) systems
• Implement embeddings and vector-based retrieval
• Implement tool calling and function calling
• Integrate AI agents with APIs, databases, and external services
• Develop backend APIs using FastAPI
• Design effective system prompts and agent instructions
• Build structured AI outputs using Pydantic and schemas
• Implement agent memory, state, and context management
• Test and evaluate AI-generated responses
• Identify and reduce hallucinations and unreliable AI behavior
• Build modular and maintainable AI systems
• Collaborate with backend and product teams
• Research and experiment with emerging Agentic AI technologies

Required Qualifications

• Students (any year) or recent graduates (Freshers Only)
• Strong fundamentals in Python
• Basic understanding of Generative AI and LLM concepts
• Understanding of APIs, JSON, and HTTP
• Basic understanding of backend development
• Basic understanding of databases
• Strong problem-solving skills
• Ability to learn independently and work with technical documentation
• Strong interest in AI agents, LLMs, and Generative AI

Preferred (Good-to-Have) Skills

• LangChain
• LangGraph
• RAG
• Vector databases
• OpenAI, Anthropic, Gemini, Together AI, or other LLM APIs
• FastAPI
• Pydantic
• Prompt engineering
• Tool/function calling
• PostgreSQL
• Redis
• Docker
• Git and GitHub
• MCP (Model Context Protocol)

Performance & Growth Path

• Internship Duration: 5 Months
• Performance-Based PPO upon successful completion
• Profit-sharing opportunities for exceptional contributors
• Opportunity to work on real AI-powered products
• Long-term growth opportunities within the engineering team

What You Will Gain

• Real-world experience building Agentic AI systems
• Hands-on experience with LLMs and Generative AI
• Experience building RAG pipelines
• Understanding of AI agent orchestration
• Experience with tool calling and external API integration
• Practical Python AI backend development experience
• Exposure to AI evaluation and reliability techniques
• Experience working with production-oriented AI systems
• Internship Completion Certificate
• Letter of Recommendation (Performance-Based)

Important Note

This internship is designed for serious learners seeking a career in Generative AI, Agentic AI, and AI Engineering.

Applicants must commit to the full 5-month duration. Only students and freshers are eligible.

Prior professional AI experience is not mandatory. Candidates with strong Python fundamentals, curiosity, and hands-on AI projects are encouraged to apply.

LinkedIn: https://linkedin.com/company/alienhousenetworks